Device and method for constrained wave-field separation
Abstract
Computing device, computer instructions and method for up-down separation of seismic data. The method includes receiving the seismic data, which includes hydrophone data and particle motion data; performing a first up-down separation, which is independent of a ghost model, using as input the hydrophone data and the particle motion data, to obtain first up-down separated data; performing a second up-down separation by using as input a combination of (i) the hydrophone data and/or the particle motion data and (ii) the first up-down separated data, wherein an output of the second up-down separation is second up-down separated data; and generating an image of the subsurface based on the second up-down separated data.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1. A method performing up-down separations of seismic data, the method comprising:
receiving the seismic data, which includes hydrophone data and particle motion data;
performing a first up-down separation, which is independent of a ghost model, using as input the hydrophone data and the particle motion data, to obtain first up-down separated data;
performing a second up-down separation by using as input a combination of (i) the hydrophone data and/or the particle motion data and (ii) the first up-down separated data, the second up-down separation outputting second up-down separated data; and
generating an image of the subsurface based on the second up-down separated data.
2. The method of claim 1 , wherein the input for the second up-down separation includes (1) only the hydrophone data and (2) the first up-down separated data.
3. The method of claim 1 , wherein the input for the second up-down separation includes (1) only the particle motion data and (2) the first up-down separated data.
4. The method of claim 1 , wherein the input for the second up-down separation includes (1) the hydrophone data, (2) the particle motion data and (3) the first up-down separated data.
5. The method of claim 1 , wherein the second up-down separation is a ghost model-dependent process.
6. The method of claim 1 , wherein the first up-down separated data is a summation of the hydrophone data and the particle motion data.
7. The method of claim 6 , wherein the particle motion data is corrected for obliquity prior to the first up-down separation.
8. The method of claim 1 , wherein the particle motion data is processed to reduce a noise content prior to the first up-down separation.
9. The method of claim 1 , wherein the first up-down separated data is a difference between the hydrophone data and the particle motion data.
10. The method of claim 1 , wherein the second up-down separation is an inversion process that calculates a wave-field separated model p based on the seismic data and a matrix L, which depends on time delays associated with up-going wave-fields and down-going wave-fields.
11. A computing device performing up-down separations of seismic data, the computing device comprising:
an interface configured to receive the seismic data, which includes hydrophone data and particle motion data; and
a processor connected to the interface, the processor configured to,
perform a first up-down separation, which is independent of a ghost model, using as input the hydrophone data and the particle motion data, to obtain first up-down separated data,
perform a second up-down separation by using as input a combination of (i) the hydrophone data and/or the particle motion data and (ii) the first up-down separated data, the second up-down separation yielding second up-down separated data, and
generate an image of the subsurface based on the second up-down separated data.
12. The computing device of claim 11 , wherein the input for the second up-down separation includes (1) only the hydrophone data and (2) the first up-down separated data.
13. The computing device of claim 11 , wherein the input for the second up-down separation includes (1) only the particle motion data and (2) the first up-down separated data.
14. The computing device of claim 11 , wherein the input for the second up-down separation includes (1) the hydrophone data, (2) the particle motion data and (3) the first up-down separated data.
15. The computing device of claim 11 , wherein the second up-down separation is a ghost model-dependent process.
16. The computing device of claim 11 , wherein the first up-down separated data is a summation of the hydrophone data and the particle motion data.
17. The computing device of claim 11 , wherein the particle motion data is processed to reduce a noise content prior to the first up-down separation.
18. The computing device of claim 11 , wherein the first up-down separated data is a difference between the hydrophone data and the particle motion data.
19. The computing device of claim 11 , wherein the second up-down separation is an inversion process that calculates a wave-field separated model p based on the seismic data and a matrix L, which depends on time delays associated with up-going wave-fields and down-going wave-fields.
20. A non-transitory computer readable medium including computer executable instructions, wherein the instructions, when executed by a processor, implement instructions for performing up-down separations of seismic data, the instructions executing a method comprising:
receiving the seismic data, which includes hydrophone data and particle motion data;
performing a first up-down separation, which is independent of a ghost model, using as input the hydrophone data and the particle motion data, to obtain first up-down separated data;
performing a second up-down separation by using as input a combination of (i) the hydrophone data and/or the particle motion data and (ii) the first up-down separated data, the second up-down separation outputting second up-down separated data; and
generating an image of the subsurface based on the second up-down separated data.Cited by (0)
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